| ABSTRACT:The Distribution Service Network (DSN) of comprehensive passenger transportation hub (CPTH) is a passenger distribution function struchure system of systems that consists of three parts, such as distribution facilities and equipments, passenger streamlines and guiding service ficilities. It is a directing network for passenger flow, serves the internal and external passenger transport demand of the hub.Therefore, this research aims at the dynamic collaborative of not only demand and supply of passenger transport but also behavior and environment in hub, focuses on the a theory and method of analysis on the distribution function structure of CPTH.The main problems this desertation works on are as follows:(1) Digital description of DSNThe conception of DSN has been defined for the first time. The DSN was divided into three layers, including infrastructure, organization and oritentation. Analyzed the DSN as a system, its boundarie was defined, its characteristics were described and its elements, components, structural were analyzed. Description models of property for each level were also established. On the infrastructure layer, the facilities of DSN were classified; their quantity functions were described. On the organization layer, the passenger streamline was compared with the organizational processes of several kinds of passenger transport modes. On the oritentation layer, a five layers structure tactics was given on design of orientation service. So, a three-phrase method for design DSN was proposed, witch integratedly considered infrastructure, organization and orientation. Added organization and oritentation to the static infrastructure network and integrated the various levels of spatial and service attributes data in order to build digital DSN.(2) Analysis and modeling of temporal and spatial features of passengers gatheredAccording to the type of passengers gathering and drive characteristics, combined with timetable and passenger waiting time for inversing the temporal and spatial characteristics of passengers gathered. The lognormal distribution model has been used for study passenger waiting time distribution. There factors of waiting time of passengers were analyzed respectively, such as transport distance, transportation, and departure time. The results showed that passengers waiting time distribution will be of a high concentration of short distance of transportation, rail transportation and departure during peak hours. Otherwise, passengers gathering more dispersed. The infection of transport distance to passengers waiting time is more significant. With transport distance as the core factor, the idea of using graphical method to calculat the number of passengers aggregation of DSN on time and space distribution. This mothed gives expression to the otherness of spatial and temporal characteristics of passengers gathered process.(3) Analysis and modeling of passenger route-choice behaviorFrom the transfer mode of passenger, analyzed the internal and external factors of passenger route-choice behavior. Analyzed the the time span and activity characteristics behavior of the internal activities constitute a passenger transfer route, and a flowchart was used to illustrate the prosess of route-choice and the relationship between the various activities. In direction choice of passengers, using way-finding theory to analysis of the passenger wayfinding strategy, by applying entropy function, a fuction based on the uncertainty was proposed for evaluating the efficacy of guiding signs. In facilities selection of passengers, a binary logit model was proposed for passenger facilities selection, with perceived time and physical exertion as characteristic variables, and was calibrated by Newton-Raphson method. The average accuracy rate of the model to predict passenger facilities choice behavior between layers is 81.6%. The mechanism analysis of facilities choice behavior proved that BL model can characterize the physical properties of the interlayer facilities for passenger choice behavior.(4) Simulation on dynamic occupation of DSNBased on the dynamic coordination of passenger subjective behavior and and distribution objective environment, the simulation model of DSN was established through integrated the passenger route choice behavior and the distribution network, given interactivity capacity to the main events with simulation environment, Provided simulation platform for analyzing dynamic load of DSN. The M/G/C/C queuing network simulation model as aprototype has been amended to D-M/G/C/C queuing network simulation model, and its generation methods and algorithm were given as well. More over, a case study was showed for verifying the validity of the model.Then, select the typical high-speed comprehensive transportation hub, Beijing South Railway Station, for the empirical research. With a brief overview of the Beijing South Railway Station, the passenger in-station streamline distribution network is designed and the corresponding D-M/G/C/C queuing network simulation model is build and the simulation program is also compiled. Finally, the results form three projects were analyzed respectively showed that the model reflects the spatial and temporal characteristics of dynamic load of DSN and passenger route choice behavior. The bottleneck of DSN was forecasted. It can provide statistical data for evaluating and optimizing of DSN.
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